Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
The Parameterized Complexity of Connected Fair Division
Authors: Argyrios Deligkas, Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak
IJCAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We study the Connected Fair Division problem (CFD)... We expand on previous results by providing a comprehensive complexity-theoretic understanding of CFD based on new algorithms and lower bounds... Overall, our results provide a comprehensive understanding of the precise boundaries of tractability of ϕ-CFD, introduce three novel algorithms for the problem, and show that the problem exhibits a rather diverse complexity-theoretic behavior. |
| Researcher Affiliation | Academia | Royal Holloway, University of London, UK; TU Wien, Austria; University of Leeds, UK |
| Pseudocode | No | The paper describes algorithmic ideas in prose (e.g., 'dynamic programming along the respective decompositions') but does not provide formal pseudocode blocks or algorithms. |
| Open Source Code | No | No statement or link is provided indicating that source code for the methodology described in the paper is open-source or publicly available. |
| Open Datasets | No | The paper is theoretical and does not use datasets for training or evaluation. Therefore, there is no information about public dataset availability. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical experiments with datasets, so no training/validation/test splits are mentioned. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments that would require specific hardware, so no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and focuses on complexity, not implementation, so no specific software dependencies with version numbers are mentioned. |
| Experiment Setup | No | The paper is theoretical and does not describe empirical experiments, so no experimental setup details such as hyperparameters or system-level settings are provided. |